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141
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GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
15 years 9 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong
124
Voted
ECCV
2010
Springer
15 years 9 months ago
Towards Optimal Naive Bayes Nearest Neighbor
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
107
Voted
HICSS
1998
IEEE
108views Biometrics» more  HICSS 1998»
15 years 8 months ago
Workflow Optimization through Task Redesign in Business Information Processes
The academic and professional literature addressing business process reengineering points at inter-task information flow delays (handoffs) as a major source of processing errors a...
Rajiv M. Dewan, Abraham Seidmann, Zhiping D. Walte...
125
Voted
GLOBECOM
2007
IEEE
15 years 7 months ago
On Optimal Admission Control for Multi-Service Cellular/WLAN Interworking
Abstract-- The complementary characteristics of cellular systems and wireless local area networks (WLANs) make them attractive candidates to jointly offer a seamless wireless solut...
Enrique Stevens-Navarro, Amir Hamed Mohsenian Rad,...
125
Voted
AICT
2006
IEEE
129views Communications» more  AICT 2006»
15 years 7 months ago
Stochastic Thresholding: An approach to Estimator Optimization via Fisher Information Maximization
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
Samudra Dasgupta